MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data

Abstract : The methods for acquiring, processing, and visualizing magnetoencephalography (MEG) and electroencephalography (EEG) data are rapidly evolving. Advancements in hardware and software development offer new opportunities for cognitive and clinical neuroscientists but at the same time introduce new challenges as well. In recent years the MEG/EEG community has developed a variety of software tools to overcome these challenges and cater to individual research needs. As part of this endeavor, the MNE software project, which includes MNE-C, MNE-Python, MNE-CPP, and MNE-MATLAB as its subprojects, offers an efficient set of tools addressing certain common needs. Even more importantly, the MNE software family covers diverse use case scenarios. Here, we present the landscape of the MNE project and discuss how it will evolve to address the current and emerging needs of the MEG/EEG community.
Complete list of metadatas

Cited literature [63 references]  Display  Hide  Download

https://hal.inria.fr/hal-02369299
Contributor : Alexandre Gramfort <>
Submitted on : Wednesday, November 20, 2019 - 3:40:57 PM
Last modification on : Wednesday, November 20, 2019 - 3:48:52 PM

File

MNE_Chapter.pdf
Files produced by the author(s)

Identifiers

Citation

Lorenz Esch, Christoph Dinh, Eric Larson, Denis Engemann, Mainak Jas, et al.. MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data. Magnetoencephalography, Springer International Publishing, pp.355-371, 2019, ⟨10.1007/978-3-030-00087-5_59⟩. ⟨hal-02369299⟩

Share

Metrics

Record views

32

Files downloads

57